Internet of Things Vendors Disrupting the Asset Condition Management Domain at IMC-2022

Internet of Things Vendors Disrupting the Asset Condition Management Domain at IMC-2022 The 36th International Maintenance Conference collocated with the RELIABILITY 4.0 Digital Transformation Conference [East].

Reliability-centered Maintenance¹ cites that over eighty percent of failures follow random patterns in terms of likelihood of failure. Typical industrial plant site Reliability Strategy Development [RSD] analysis methods recommend up to fifty percent of total maintenance and inspection coverage as part of the formal written strategy for asset failure modes, mechanisms and causes that can be effectively detected and monitored within the P-F Curve window for efficient planning and scheduling. Asset Condition Information [ACI] on the health, condition, and performance of the asset or system are possible through asset condition sensors and ai infused diagnostic systems and recommendation engines. The aim of the Asset Condition Management domain is to assure the level of asset health required to achieve organizational objectives within the tolerance or appetite for the risk that best represents the organization through early detection and prognostics/diagnostics and prescriptions [recommendations].

Digitalization is another word for the new innovative business models that are available because of the combined opportunity sets created by the convergence of:

1. Cloud computing, offering a trustworthy, elastic IT infrastructure for processing and storage

2. Internet of Things or IoT, a high-speed, low-latency, connected network of devices providing near real time or real time health, condition and performance data for assets and people

3. Connected Data, open, interoperable systems and data hubs, data warehouses and data lakes provide opportunity to relentless improve transactional data governance to move up the data driven decision-making [DM] value chain to:
a. information,
b. knowledge and
c. wisdom

4. Ai/Machine Learning, capability to analyze massive data sets and improve recommendations though a foundation of evergreen, trustworthy, synchronized management of change

IMC-2022 The 36th International Maintenance Conference collocated with the RELIABILITY 4.0 Digital Transformation Conference [East] curated expo of solution providers offers significant disruptions of the traditional “experience based” decision making approach. Current best practice approach has evolved to include wireless sensor networks and ai-infused “model driven/data driven” machine recommendations approach to support the former.

This brief guide is designed as a technology planning guide and IMC22 Tech Crawl so that you and your team discover the IMC-2022 Solution Providers that can jumpstart your Asset Condition Management domain journey.

IMC-2022 offers a superior way to CONNECT to CBM with fifty + top vendors and one thousand asset management decision makers!

ACM IoT Innovators and Disrupters

Augury [booth 214]

Augury offers asset health "Diagnostics So Accurate, They’re Guaranteed".

Augury’s Machine Health solutions create a real-time, prescriptive source of truth for the health and performance of industrial assets. From the plant floor to the executive office, the Augury Asset Condition Management platform provides insights to help you transform the way you manage and maintain your critical assets by early diagnosis and prevention of machine failures.
The analytics provides you actionable alerts to support your team to pinpoint what to fix, and how to fix it, at the earliest sign of any developing malfunction. The Augury platform connects assets, the workforce and their supervisors and managers.

Nanoprecise [booth 123]

Nanoprecise offers Asset Condition Management solutions that feature prediction with precision to support asset management decision making [DM] at your organization.

Asset breakdowns happen without a warning and the challenge is to spot the signs early enough to schedule repairs and restoration. The Nanoprecise Automated AI based Asset Condition Management solutions offer that insight. Their primary focus is early detection of even small changes in machine operations well before they impact production or cause downtime.
Nanoprecise solutions are designed to create 360-degree integrated systems that can predict the remaining useful life [with up to 99% accuracy] of any asset and empower teams with right data for effective and efficient decisions.

AWS [booth 117]

AWS Monitron offers to reduce unplanned equipment downtime with Asset Condition Management design to detect machine issues before they occur with machine learning (ML) and act.
Simplicity is designed-in and you can start monitoring equipment in minutes with easy installation and automatic, secure analysis through the Amazon Monitron end-to-end system.

Improve system accuracy continuously as Amazon Monitron learns from your technician feedback entered in the mobile and web apps.

I-care Reliability [Booth 313]

I-care Reliability offers a real plug & play wireless and continuous Asset Condition Management system. When combined with I-see™, the cloud-based analytical platform, it provides a complete Maintenance 4.0 solution.
The I-see platform offers your team the ability to focus on machine health, making field and analytics work easier and more efficient. The unique and effective communication platform has an aim to helps teams to proactively optimize their maintenance costs and improve plant availability.

The platform offers Wi-care PURE (Portable Unit for Route and Expertise) that is an advanced data collector designed and developed to help close the gap in using a portable device that could share the same database as all of I-care online tools for use for both beginners and expert users.

As a key 4.0 technology, the Wi-care PURE supports the digitalization of the maintenance industry as it removes the barrier for those assets that are too complex to monitor online. With the Wi-care PURE system, the wireless sensor technology and portability allow the user to monitor significantly more assets in a day versus monitoring only one machine over several days.

Grace Technologies, Inc. [Booth 317]

Grace Technologies offers GraceSense, a smart system that includes IoT smart devices designed to reduce unplanned downtime by providing continuous, remote vibration and/or temperature monitoring for switchgear, transformers, and rotating equipment.
GraceSense gateways transfer accumulated field node information to an actionable troubleshooting platform via a Maintenance Hub Cloud and/or your PLC, SCADA, DCS system.

KCF Technologies [Booth 215]

KCF Technologies have an aim to be your Asset Condition Management partner by providing a team of Certified engineers as problem solvers that act as an extension of your team through every step of your Asset Condition Management journey.
KCF provides ruggedized hardware solutions, designed to monitor everything from rotating equipment to complex intermittent assets.

SMARTdiagnostics Machine Health Software translates the language of machine health into action. From Time Waveform for full spectrum analysis to simple to understand dashboards anyone in your plant can take action on, SMARTdiagnostics makes sense of all your machine health data so you can make decisions and act quickly.

UE Systems [Booth 113]

UE Systems is best known for handheld Ultrasonic Testing [UT] devices but now offer OnTrak, a Remote Lubrication Assistant, monitoring your bearings 24/7, notifying you when lubrication is required. When called upon, the assistant will lubricate the bearing with precision using friction as its guide and with ultrasound best practices in place to eliminate over greasing.

Using the bearing and lubrication data combined with the key lubrication insights, the OnTrak uses intelligent learning algorithms to learn over time the idea lubrication needs of each specific bearings. OnTrak can be integrated with your existing CMMS or ERP system to automatically document that lubrication has been performed and the key insights.

Emerson [Booth 212]

Emerson offers the AMS Wireless Vibration Monitor is an easy-to-deploy vibration sensor that performs prescriptive analytics on vibration data using native software to automatically identify failure modes in rotating equipment. This compact device makes it easier to monitor more equipment, reduce downtime and improve overall reliability. Mobile alerts from the Plantweb Optics asset performance platform can be aggregated with additional data sources to deliver a holistic picture of overall operational health.

SKF [Booth 119]

SKF Rotating Equipment Performance is offering pay-for-performance partnership to implement solutions that identify and solve your Asset Condition Management challenges.

Digitalization will play a major role in the future of your operation relies on industry-leading productivity and reliability through digital transformation. SKF® offers the technology and expertise to transform the way you do business—from a single asset to an entire enterprise.

Gain a deeper understanding of machine performance with data analytics and visualization and make a real business impact. SKF helps you monitor all rotating assets via SKF connected solutions, and provides insights in a simple, easy-to-understand and actionable way.

Megger's Baker Instruments [Booth 314]

Megger's Baker Instruments is a leading provider of test equipment for the electrical condition monitoring of motors, generators and coils. The business was acquired by Megger from the SKF Group in 2018.

Megger also offers Grid Analytics Solutions including Analytics Solution around the network and customer specifications. These designs are built around our high-quality precision grid sensors, communication hardware, analytics software, and can include an integration with DMS/SCADA infrastructures.

Whether you are testing in a motor repair shop, in an industrial plant, on a ship or up a wind turbine, Baker Instruments motor test equipment allows you to fully understand the condition of the motor, the power supply and the load. Comprehensive motor testing allows you to reduce costs and avoid unplanned motor and machine downtime.

Allied Reliability [Booth 308]

Allied Reliability offers SmartCBM (formerly iReliability) Tool Suite for monitoring and reporting on the condition of your assets. These tools enable the development of a maintenance strategy listing necessary activities and their frequency to mitigate design-failure modes to maximize equipment reliability and availability.

SmartCBM Mobile provides current, on-the-go high-level business views down to site specifics for individual facilities/plants and even to the specific asset and component level.This app gives your organization an easy-to-use mobile solution for quick, complete viewing of your Asset Condition Management program in real-time.

SymphonyAI [Tower]

SymphonyAI offers powerful ai-infused Electrical system monitoring with the APM360 Anomaly Detection Engine (ADE). The ADE can be used to monitor electrical systems for potential faults, anomalies, or changes in operating conditions. It does this by using deep learning algorithms that learn the behavior of the system from historical data. Examples of devices that can be monitored include Power Quality Meters (PQMs), Protective Relays (PRs) and transformers. The ADE monitors incoming data and raises alerts when there is a potential anomaly.

IMI/PCB Piezotronics [Booth 323]

IMI/PCB Piezotronics offers the Echo®, a simple, effective, alarm-based wireless vibration monitoring system that can safely "look" at the machine's health several times per day and provide data to your existing vibration monitoring system.
The system allows the reliability-centered maintenance team to monitor more channels with fewer resources by eliminating the collection of vibration data on healthy machines. The system also allows measurements to be taken daily on machines in dangerous, remote and hard-to-reach locations. It's been tested in a number of different types of plants including power, steel, food processing, paper, chemical and automotive.

Wilcoxon Sensing Technologies [Booth 216 ]

Wilcoxon Sensing Technologies is an ISO 9001:2015 vibration monitoring solutions manufacturer and global supplier. Formerly known as Wilcoxon Research, Inc., and founded in 1960 by former staff members of the David Taylor Naval Research Center.

Hansford Sensors, [Tower]

At Hansford Sensors, they design, develop and manufacture a wide range of high performance industrial accelerometers, vibration transmitters (loop powered sensors), cable assemblies, industrial enclosures, vibration sensors and ancillary equipment.

Hansford Sensors industrial accelerometers and vibration transmitters play a vital role in predictive or preventative maintenance and condition monitoring routines, for all forms of rotating shafts and machinery; this includes pumps, fans and motors. Data can be captured locally or remotely using PLC, BMS or 4-20mA input modules, while our comprehensive range of cables, connectors and accessories make installation and operation quick and simple.

LUDECA [Booth 206]

LUDECA offers low-powered wireless sensors for remote machine health monitoring provide continuous measurements of critical parameters such as temperature and vibration on high wear components in a wide range of industrial applications.
LUDECA's Kappa X introduces a 10kHz FMax enabling earlier warning and increased diagnostics capability. Designed to monitor almost any application, the Kappa X wireless vibration sensor features a small footprint, waterproof housing, and a user-replaceable battery.

RDI Technologies [Booth 408]

Detect subtle displacement and then convert that movement to a level visible with the naked eye. Measure mechanical or structural assets that a camera can see with accuracies that rival standard displacement sensors.

RDI’s patented technology measures deflection, displacement, movement, and vibration not visible to the human eye. We utilize video camera technology in conjunction with software and processing algorithms to extract meaningful data.

Predictive Maintenance or Asset Condition Management?

Are you limiting your Return on Investment by taking a Predictive Maintenance approach rather than using an Asset Condition Management approach?

1. Objective is to go beyond prediction of failure to ensuring maximum value delivery from asset
2. From a Reliability perspective, Maintenance of any type is by nature reactive
3. The objective of is asset condition management is value delivery NOT simply the prediction of a maintenance task requirement
4. Manages the alignment of activities to ensure asset condition to organizational objectives
5. Asset Condition Management includes the original intent of Nolan and Heap RCM “Inspect an item to detect a potential failure - a potential failure is an identifiable physical condition which indicates that a functional failure is imminent”
6. Asset Condition Management is part of a holistic Reliability Framework and Asset Management System
7. ACM stresses precision approaches to block the defect that creates the potential failure (Point P) that leads to the Functional Failure (Point F)

Check out the Asset Management Technology Disrupters Report at IMC-2022

Check out the Asset Management Services Disrupters Report at IMC-2022

Join us at IMC-2022, The 36th International Maintenance Conference as we discover and explore disruptive technology to advance reliability and asset management to create a safe, sustainable and successful workplace.

The Asset Condition Management technology context is supplied by following references

¹Reliability-centered Maintenance by Nolan and Heap [1979]
RCM, Gateway to World Class Maintenance by Anthony “Mac” Smith [2010]
10 Rights of Asset Management by Ramesh Gulati and Terrence OHanlon [2016]
Uptime Elements Reliability Framework and Asset Management System [2016]
Asset Condition Management Domain Passport [2016]
Uptime Elements Digitalization Strategy Framework [2021]
Digitalization Strategy Framework and IoT Domain Passport [2021]
The DIPF Curve [2013]
SDIPF Curve [2021]
Uptime Elements: The Way Things Fail Poster [2013]
Uptime Elements: Five Sources of Defects Poster [2013]
Uptime Elements Performance Management System [2016]
Uptime Elements Work Categories and Work Types [2022]
Uptime Elements Sustainability Map [2022]
Uptime Elements Implementation Guide – Enabling the Sustainability and Reliability Journey, Second Edition [2022]
Uptime Elements Implementation Guide: 5-Why Project Failure Causes .xls [2022]